Laboratory for mathematical modeling and statistical analysis

Laboratory for mathematical modeling and statistical analysis aims to support evidence-based nutritional research by applying statistical methodology, and to become regional center for nutritional epidemiology.


  •  Working closely with nutritionist and public health nutritionist, primarily to provide statistical advices in designing studies and analyzing data from research projects: help formulate the research questions, coordinate data collection procedures, and conduct statistical analyses to answer scientific questions
  • Collaborating with leading European institutions to benefit from knowledge transfer, and to apply obtained skills in practice at IMR. For example, there is on-going partnership with University of Copenhagen, Denmark within project on multivariate analysis of metabolomics for assessment of nutritional status
  • Dissemination of knowledge on application of statistical modelling during regional (Central and Eastern Europe) meetings on capacity building in nutrition
  • Involved in development of nutritional software tools as to propose functions to enable efficient statistical analyses of the collected data
  • Performing statistical analyses of the raw data using the most advances software packages such as SAS, STATA, SPSS and R
  • Assisting in systematic literature reviewing and performing meta-analyses, when applicable
  • Developing innovative modelling within European Commission funded project CHANCE, as to help to identify low cost nutritionally affordable foods for population at risk of poverty


Within EURRECA Network of Excellence ( IMR team was in charge of conducting systematic literature review and applying meta- analysis to answer research questions relevant to micronutrients intake and status in Europe.

Raw food scoring system and diet quality; Within the frame of the FP7 Chance project Low cost technologies and traditional ingredients for the production of affordable, nutritionally correct foods improving health in population groups at risk of poverty ( ), IMR has developed a food scoring system for nutritional and economical ranking of raw food. It is very easy and practical model for identification cheap and healthy raw foods developed based on nutrient content, price and daily consumption.

Currently, we are developing a mathematical model for improvement of diet quality using linear programming. Basis of the new model would be a list of foods selected by presented Chance scoring system.. This work is also part of the chance project. The aim of this model is to check is it possible and how much is possible to improve diet quality with new foods and current dietary habits?


  • Romana Novaković, Adriënne Cavelaars, Marianne Renkema, Joy Ngo, Blanca Roman Viñas, Mana Golsorkhi, Marisol Wharton Medina, Anna Brzozowska, Anna Szczecinska, Iris Iglesia Altaba,Anouk Geelen, Diederik de Cock, Pieter van’t Veer, Lisette C.P.G.M. de Groot, Lluís Serra Majem, Marina Nikolić, Luis A. Moreno, Christophe Matthys, Maria Glibetić, Mirjana Gurinović; Systematic review: socioeconomic and cultural determinants of low micronutrient intake and status within Eurreca network, Public Health Nutr. 2013 Jun 11:1-15. [Epub ahead of print], doi:10.1017/S1368980013001341
  • Novakovic R, Cavelaars AEJM, Bekkering E G, Roman B, NGO J, Gurinovic M, Nikolić M, et al. Micronutrients intake and status in Central and Eastern Europe as compared to other European countries, results from the EURRECA network, Public Health Nutr. 2013 May;16(5):824-40. doi: 10.1017/S1368980012004077. Epub 2012 Sep 21,
  • Romana Novakovic, anouk Gleen, danijela Ristic-Medic, Marina Nikolic, Olga W. Souverein, Helene Mc Nulty, Maresa Duffy, Leane Hoey, Carla Dullemeijer, Mirjana Gurinovic, Maria Glibetc, Hilko van der Voet, Lisette C.P.G.M de Groot, Pieter van’t Veer, Systematic review of obserentioal studies and dose-response meta-analysis for folate intake and folate biomarkers in adults and elderly (submitted in PHN)
  • Chance deliverable 2.3: Integrated nutritional and economical ranking of raw foods/food products/recipes Maria Glibetic, Mirjana Gurinovic, Jelena Milesevic, Marina Nikolic (IMR) Alessandra Bordoni, Francesco Capozzi, Santina Romani (UNIBO)
  • Daijela Ristic Medic, Zlata Piskackova, Lee Hooper, Jiri Ruprich, Amelie Casgrain, Mirjana pavlovic, Marijaglibetic, Methods of assessment of iodine status in humans: a systematic review, Am J Clin Nutr. 2009 Jun;89(6):2052S-2069S. doi: 10.3945/ajcn.2009.27230H.

Dr Maria Glibetic




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